- Implemented a new statistics module to record and monitor export operations
- Added tracking for export timestamps, file sizes, and user identifiers
- Updated export handler to log each completed export with relevant metadata
The README now includes a brief overview of the project's purpose and
step-by-step guidance for local development setup, including
prerequisites and installation commands.
Implement a new export statistics module that records and aggregates metrics for user data export operations, including timestamps, file sizes, and export types. This enables monitoring of export frequency and data volume across the platform.
The export statistics module now includes a new monthly aggregation function that calculates user activity metrics such as total exports, unique users, and average export size per month. This data is stored in a dedicated statistics table and exposed via a new API endpoint for the admin dashboard.
Implement a new aggregation pipeline in the statistics module that groups export events by month and user ID, enabling generation of monthly activity reports for the admin dashboard. The change includes a new `getMonthlyExportStats` function that queries the exports collection with a date range filter and returns aggregated counts per user.
The commit introduces a new image file intended for use as a default avatar when a user has not uploaded a custom profile picture. This ensures visual consistency across the user interface by providing a generic fallback graphic.
The previous thread pool implementation caused GIL contention under heavy CPU workloads. This change swaps concurrent.futures.ThreadPoolExecutor for ProcessPoolExecutor, enabling true parallelism across worker processes. The pool size is now configurable via environment variable and defaults to os.cpu_count(). Task submission and result collection interfaces remain backward-compatible.
Implement a new export statistics module that aggregates monthly export data including total revenue, shipment counts, and per-category breakdowns. The module introduces a scheduled task that runs on the 1st of each month to compute and store statistics from the orders and shipments tables, enabling historical trend analysis and reporting.
Implement a new statistics module that aggregates and stores monthly export counts per user, enabling detailed activity reporting and usage monitoring. The change introduces a dedicated database table for export statistics, a background job to compute monthly aggregates from the exports log, and an API endpoint to retrieve per-user export statistics for the past 12 months.
The profiles table previously lacked an index on the user_id column, causing slow query performance when filtering by user. This change adds a B-tree index on user_id to optimize read operations in the user profile retrieval endpoint.
Implement a new statistics module that aggregates and stores monthly export counts per user, enabling detailed activity reporting and usage monitoring. The module includes a background job that runs on the 1st of each month to finalize previous month's data, and exposes an API endpoint for querying export statistics by user ID and date range.
Implement a new statistics module that aggregates and stores monthly export counts per user, enabling detailed activity reports and usage monitoring. The module includes a background job that runs on the 1st of each month to compute and persist the previous month's export metrics, along with a new database table for storing the aggregated data.
Implement a new aggregation pipeline in the statistics module that groups export events by month and user ID, enabling generation of monthly activity reports for administrators. The change introduces a `getMonthlyExportStats` function that queries the exports collection, filters by the last 12 months, and returns aggregated counts per user per month.
Implement a new monthly export statistics feature that records and aggregates export activity data. The change introduces a dedicated statistics collection mechanism within the analytics module, enabling tracking of export volumes, success rates, and user engagement metrics on a monthly basis. This enhancement provides administrators with granular visibility into export patterns and system utilization over time.
Implement a new statistics module that records and aggregates export operations, including timestamps, file sizes, and user identifiers. This enables monitoring of export frequency and data volume for compliance and analytics purposes.
